Unlock Data Insights with Looker's Semantic Model

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Unlock Data Insights with Looker’s Semantic Model

Semantic modeling for AI

Are you new to Looker and eager to harness the power of data? Looker’s semantic modeling layer is your key to unlocking accurate, consistent, and accessible data insights across your organization.

What is Looker’s Semantic Model?

Looker’s semantic model, built using LookML, acts as a centralized data dictionary. It defines business logic and data relationships, ensuring everyone in your organization works with a consistent view of your data. As explained in this video overview of Looker’s semantic modeling layer, this approach ensures data democratization, giving everyone access to reliable information].

Why is it Valuable?

• Data Consistency: LookML, Looker’s data modeling language, ensures consistent data analysis by defining business logic in one place.
• Real-time Data: Looker connects directly to your data sources, such as BigQuery, providing real-time data visibility.
• Centralized Data Dictionary: The semantic layer acts as a trusted, centralized data dictionary, ensuring consistent and accurate information across the board.
• AI-Powered Assistance: Looker provides AI-powered assistance to help you generate LookML code using natural language..

Getting Started with Looker and the Semantic Model

Ready to dive in? Here are some resources to get you started:

• Looker Introduction: This Looker introduction provides an overview of Looker and its capabilities.
• Get Started with Looker: This Get Started with Looker resource offers a hands-on introduction to Looker.
• Introduction to LookML: Learn about LookML, the language used to define Looker’s semantic models Introduction to LookML.
• Introduction to Semantic Models in Looker: This Introduction to Semantic Models in Looker article provides a comprehensive introduction to semantic models in Looker.
• Getting started with the Looker API: This Getting started with the Looker API guide will help you get started using the Looker API.

By leveraging Looker’s semantic model, you can empower your team to explore data, gain valuable insights, and make data-driven decisions with confidence.

Want to learn more? Check out our documentation page to get started.

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Hi @marout , thanks for sharing this. It looks really promising.

I have some questions if you don’t mind: Are you able to confirm that Gemini integration will only work in Looker if the Connection is BigQuery? Furthermore, will this be available to Looker (Google Cloud Core) and Looker (Original)?

[marout]

There are a few different Gemini in Looker features (link) so not sure which one you are thinking can you share more info? Gemini in Looker is available in both core and original today in preview.

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@marout Thank you for sending that link, that was actually very helpful!

I have gotten Advanced Visualization Assistant and LookML Assistant to work. Conversational Analytics, however, still eludes me. I have enabled the setting “Looker Studio Pro” and “Gemini in Looker”. My instance is on 25.2.18 . Do you know where I could find the conversational analytics?